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Teleradiology and Artificial Intelligence: Two major disruptive Technologies for the Medicine of the Future: Part 3

No more dreams of the future: Artificial Intelligence (AI) is finding its important place in medical diagnostics. 

We at ERS – Emergency Radiology Schueller understand and operate telemedicine as an important, secure centre of medical data. Not only do we fully comply with the requirements of the GDPR and other international legal texts: We also develop our own high-security and high-availability networks so that our customers benefit from our all-round data protection at all times.

Naturally, all AI manufacturers are interested in offering their products to as many users as possible. Telemedicine, especially teleradiology, offers this possibility. Our technology at ERS – Emergency Radiology Schueller protects medical data on a global level and allows our customers and all interested medical professionals to use the most up-to-date AI that is best suited to their specific needs.

AI in teleradiology does not mean that the medical activity is shortened or even unnecessary. On the contrary: We at ERS – Emergency Radiology Schueller have been carrying out independent tests with what we believe to be the most appropriate AI for years. In this way we ensure that these AIs, which have been tested over a long period of time and with a lot of our own data, represent a significant benefit for medical diagnostics in the future. Man and machine go hand in hand. We attach the greatest importance to the fact that humans will always have dominion over AI.

 

What is www.radailogy.com? Read more about it in our report!

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Teleradiology and Artificial Intelligence: Two major disruptive Technologies for the Medicine of the Future: Part 2

Teleradiology has established itself as a professional service that supports medical institutions in their daily tasks. And now the next innovation in medical diagnostics comes into play with Artificial Intelligence (AI). Read part 2 of our report here!

AI applications undergo a whole series of tests before they are ready for the market, which are essential for approval by the international regulatory authorities, such as the FDA in North America and CE in Europe. This creates the basis for AI results to be characterised by high sensitivity, specificity and accuracy. This means that the result for a characteristic that the AI used is looking for will contain the highest possible number of true positive results and at the same time only a negligible number of false positive and false negative results.

 

The prioritisation of investigations

We at ERS – Emergency Radiology Schueller work together with major AI developers. We help to produce such AI which enables patients to be prioritised according to the degree of injury and illness. The AI can thus help to triage in order to first produce those findings that are most urgently needed by our clinical partners in hospitals and institutes in Switzerland, Germany and Austria for patient treatment. Such AI enables a significantly improved allocation of resources and results in optimal individualised patient care.

 

What is the current status of the symbiosis of teleradiology and AI? Read more in part 3!

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Teleradiology and Artificial Intelligence: Two major disruptive Technologies for the Medicine of the Future

The great potential of teleradiology is now recognised. Today, it has earned a reputation as a professional service that supports medical institutions in their daily tasks. And now, Artificial Intelligence (AI) is the next innovation in medical diagnostics.

 

Teleradiology already has a significant influence on the field of radiology. It contributes to significantly improving the quality of medicine through its high-quality diagnostic sub-specialisation that can be used at any desired location. Teleradiology also helps to make existing radiological workplaces in hospitals and specialist radiological institutes more attractive in the long term and even to prevent burnout: obligatory services at unloved times, such as at night, at weekends and on public holidays, are simply no longer necessary for radiologists from such institutions. And in the event of an excessively high work volume, for example during peak or off-peak times or in the event of staff shortages, we at ERS – Emergency Radiology Schueller – can take over and report on any number of examinations for our customers at any time in the shortest possible time and with our high quality.

But that is not all. We at ERS – Emergency Radiology Schueller – are constantly questioning ourselves and are already thinking today about those services which will make their contribution to serve society in the best possible way in the future. Revolutionary information technology has enabled the emergence of both teleradiology and AI. The rapid development of telecommunications has helped teleradiology to celebrate its great success. The development of the DICOM standard, which enabled the storage and exchange of information in medical image data management, had a particular influence on this.  For AI, the development of algorithms of neural networks in connection with the latest generation of powerful processors offers the possibility of processing large amounts of data in parallel.

 

What is the benefit of a synergy between these two services? Read more in part 2!

radailogy pixelshine blog may 2021 III

Leverage AI to extend the clinical utility of your CT scanner

What if you could improve the diagnostic quality and utilization of your existing CT scanners without incurring the high cost associated with replacing them and refurbishing the CT suite? Using Deep Learning technology PixelShine can automatically enhance and harmonize the image quality of studies acquired by any CT scanner at the lowest possible dose – extending the life of older scanners and deferring costly and disruptive replacement projects. You find this exceptional opportunity on our AI platform Radailogy. It has a substantial impact on the traditional revenue stream of hospitals and imaging providers.

radailogy pixelshine blog may 2021 II

Harmonize CT Image Quality

New deep learning CT scan processing software is now available through Radailogy that can help everyone overcome the limitations of Iterative Reconstruction. PixelShine from AlgoMedica automatically improves the quality of any CT scan by reducing image noise without reducing the conspicuity of fine details. It improves the image quality of CT studies acquired at any dose level, to make lower dose scanning possible for all CT studies. In addition, PixelShine is vendor neutral; so it works with all CT scanners, regardless of the vendor, including older and refurbished systems.

radailogy pixelshine blog may 2021 I

Radailogy proudly presents PixelShine: Why this new AI has an impact on CT radiation dose

The cumulative effect of the exposure to CT imaging compounds the need to achieve the lowest per-scan patient dose possible. While low-dose CT imaging techniques exist, there is often a compromise that must be made in both image quality and cost. Lower-dose studies have higher image noise, which results in lower quality images, which are more difficult to analyze. Iterative Reconstruction (IR) is still the most used technique for improving the quality of lower-dose imaging studies. However, IR can take substantially longer to process images and is prone to producing images with a waxy or blurry appearance if applied too strongly on low-dose studies. Deep Learning CT Processing (DLCP) is the next generation in CT image noise reduction techniques. DLCP not only improves CT images acquired during typically low-dose procedures like lung screening and pediatric exams, but it also presents the ability to significantly reduce radiation exposure for other higher-risk categories such as oncology and obese patients. In addition, it can improve the image quality of ultra-low-dose abdominal, cardiac, and brain scans. Radailogy presents PixelShine by AlgoMedica in order to assist to the reduction of CT radiation dose and from now on to substantially improve image quality in low dose CT studies.

Radailogy: Detecting fractures on X-rays

Radailogy: Detecting fractures on X-rays

 

Not only trauma centres and radiology institutes, but every doctor has to deal with the diagnosis of fractures. X-rays are still the first line modality, especially for peripheral skeletal trauma. Radailogy offers you a new CE approved app from the French company AZmed: Rayvolve. Either let Rayvolve process your X-ray images always in the background, or send us selected images with a specific question. Rayvolve has been trained on data sets of one million trauma images. AZmed gives Rayvolve a sensitivity of 96% and a specificity of 86%. In our own test series, Rayvolve performed as follows: Sensitivity 93%, Specificity 86%, PPW 92%, NPW 89%, Accuracy 91%. In a multicentre study, Rayvolve provided a time saving of 36% and an increase in specificity of 8%.
Rayvolve is proving to be a valuable aid for doctors in daily practice: whether the app is used occasionally, for example in doctors’ surgeries, or whether it is used to optimise the workflow in medical centres.
The best way to request Rayvolve is with our Radailogy services Defained or Pure AI. Register, upload and get started!
Info at www.radailogy.com